On the packet similarity of real-time streaming services

Takumi Miyoshi, Kenji Sekiya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Multimedia streaming has recently become a dominant form of Internet traffic. Even in a live streaming environment, however, each end user independently connects to the server by unicast communication. It is thus essential to consider how to provide such services to many users while maintaining efficiency and scalability. To explore the potential of introducing multicast-like transmission mechanisms, we analyze the similarity in streamed data packets that are simultaneously transmitted to several end hosts in real-time video/audio services. The results show a significant level of similarity among the packets and, therefore, that multicast-like mechanisms could decrease streaming traffic.

Original languageEnglish
Title of host publicationInternational Conference on Intelligent Networking and Collaborative Systems, INCoS 2009
Pages265-266
Number of pages2
DOIs
Publication statusPublished - 2009
EventInternational Conference on Intelligent Networking and Collaborative Systems, INCoS 2009 - Barcelona
Duration: 2009 Nov 42009 Nov 6

Other

OtherInternational Conference on Intelligent Networking and Collaborative Systems, INCoS 2009
CityBarcelona
Period09/11/409/11/6

Fingerprint

Scalability
Servers
Internet
Communication

Keywords

  • Internet radio
  • IPTV
  • Packet similarity
  • Streaming service
  • Traffic analysis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software
  • Electrical and Electronic Engineering

Cite this

Miyoshi, T., & Sekiya, K. (2009). On the packet similarity of real-time streaming services. In International Conference on Intelligent Networking and Collaborative Systems, INCoS 2009 (pp. 265-266). [5368807] https://doi.org/10.1109/INCOS.2009.47

On the packet similarity of real-time streaming services. / Miyoshi, Takumi; Sekiya, Kenji.

International Conference on Intelligent Networking and Collaborative Systems, INCoS 2009. 2009. p. 265-266 5368807.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Miyoshi, T & Sekiya, K 2009, On the packet similarity of real-time streaming services. in International Conference on Intelligent Networking and Collaborative Systems, INCoS 2009., 5368807, pp. 265-266, International Conference on Intelligent Networking and Collaborative Systems, INCoS 2009, Barcelona, 09/11/4. https://doi.org/10.1109/INCOS.2009.47
Miyoshi T, Sekiya K. On the packet similarity of real-time streaming services. In International Conference on Intelligent Networking and Collaborative Systems, INCoS 2009. 2009. p. 265-266. 5368807 https://doi.org/10.1109/INCOS.2009.47
Miyoshi, Takumi ; Sekiya, Kenji. / On the packet similarity of real-time streaming services. International Conference on Intelligent Networking and Collaborative Systems, INCoS 2009. 2009. pp. 265-266
@inproceedings{0a238473982b4524baefe3c08035383c,
title = "On the packet similarity of real-time streaming services",
abstract = "Multimedia streaming has recently become a dominant form of Internet traffic. Even in a live streaming environment, however, each end user independently connects to the server by unicast communication. It is thus essential to consider how to provide such services to many users while maintaining efficiency and scalability. To explore the potential of introducing multicast-like transmission mechanisms, we analyze the similarity in streamed data packets that are simultaneously transmitted to several end hosts in real-time video/audio services. The results show a significant level of similarity among the packets and, therefore, that multicast-like mechanisms could decrease streaming traffic.",
keywords = "Internet radio, IPTV, Packet similarity, Streaming service, Traffic analysis",
author = "Takumi Miyoshi and Kenji Sekiya",
year = "2009",
doi = "10.1109/INCOS.2009.47",
language = "English",
isbn = "9780769538587",
pages = "265--266",
booktitle = "International Conference on Intelligent Networking and Collaborative Systems, INCoS 2009",

}

TY - GEN

T1 - On the packet similarity of real-time streaming services

AU - Miyoshi, Takumi

AU - Sekiya, Kenji

PY - 2009

Y1 - 2009

N2 - Multimedia streaming has recently become a dominant form of Internet traffic. Even in a live streaming environment, however, each end user independently connects to the server by unicast communication. It is thus essential to consider how to provide such services to many users while maintaining efficiency and scalability. To explore the potential of introducing multicast-like transmission mechanisms, we analyze the similarity in streamed data packets that are simultaneously transmitted to several end hosts in real-time video/audio services. The results show a significant level of similarity among the packets and, therefore, that multicast-like mechanisms could decrease streaming traffic.

AB - Multimedia streaming has recently become a dominant form of Internet traffic. Even in a live streaming environment, however, each end user independently connects to the server by unicast communication. It is thus essential to consider how to provide such services to many users while maintaining efficiency and scalability. To explore the potential of introducing multicast-like transmission mechanisms, we analyze the similarity in streamed data packets that are simultaneously transmitted to several end hosts in real-time video/audio services. The results show a significant level of similarity among the packets and, therefore, that multicast-like mechanisms could decrease streaming traffic.

KW - Internet radio

KW - IPTV

KW - Packet similarity

KW - Streaming service

KW - Traffic analysis

UR - http://www.scopus.com/inward/record.url?scp=77649334983&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77649334983&partnerID=8YFLogxK

U2 - 10.1109/INCOS.2009.47

DO - 10.1109/INCOS.2009.47

M3 - Conference contribution

AN - SCOPUS:77649334983

SN - 9780769538587

SP - 265

EP - 266

BT - International Conference on Intelligent Networking and Collaborative Systems, INCoS 2009

ER -